Results 251 to 260 of about 47,079 (313)

Dimensional cophenetic integrity: a method for evaluation of dimensionality reduction in MSI. [PDF]

Bioinform Adv
Newstead CJ, Bunch J, Bailey MJ, Dexter A.   +3 more
europepmc   +1 more source

Genetic algorithm for hyperparameter optimization.

Md. Shafak Shahriar Sozol (21212880), M. Rubaiyat Hossain Mondal (8415447), Achmad Husni Thamrin (21212883)   +2 more
openalex   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

Annals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males, Marko Kumric, Zvonimir Boban, Josip Vrdoljak, Dario Pecenkovic, Matej Ivanda, Marko Grahovac, Zenon Pogorelic, Josko Bozic   +8 more
wiley   +1 more source

Intelligent Corrosion Diagnosis of High-Strength Bolts Based on Multi-Modal Feature Fusion and APO-XGBoost. [PDF]

Sensors (Basel)
Zhang H, Wu Y, Sun B, Liu Y, Liu W.
europepmc   +1 more source

Machine Learning‐Driven Prediction of Co2 Solubility in Ionic Liquid: A Comparative Analysis Using Shap and Hyperparameter Optimization

Dipak Rana, Kalyan Dhar
openalex   +1 more source

Artificial Intelligence–Based Surgical Phase Analysis Enables Objective Assessment of Surgeon Skill in Robotic Distal Gastrectomy: A Multicenter Study

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim Artificial intelligence (AI)–based surgical video analysis can automate time‐consuming manual assessments and enable objective characterization of surgical workflows. We aimed to construct a large, multicenter, fully annotated dataset of robotic distal gastrectomy (RDG) videos and evaluate the feasibility and performance of an AI model for
Masaru Komatsu, Daichi Kitaguchi, Yoichi Ninomiya, Yuya Takabe, Mitsumasa Yoshida, Masahiro Yura, Nobuyoshi Takeshita, Takahiro Kinoshita, Masaaki Ito   +8 more
wiley   +1 more source

Analysis of hyperparameter optimization effects on lightweight deep models for real-time image classification. [PDF]

Sci Rep
Rakesh VK, Mazumdar S, Samanta T, Pandey HK, Das A, Pal S.   +5 more
europepmc   +1 more source

Enhancing CNN-LSTM Models for Financial Time-Series Forecasting through Hyperparameter Optimization and Regularization [PDF]

Rishabh Deepak Saudagar
openalex  

Dictionary‐based weak‐form training for noise‐robust series hybrid models with multiplicative unknowns

AIChE Journal, EarlyView.
ABSTRACT Hybrid modeling combines first‐principles equations with a data‐driven subcomponent. Training for the data‐driven part is sensitive to measurement noise when training targets are constructed using pointwise time derivatives. Beyond differentiation errors, hybrid models involve solving an inverse problem to estimate the data‐driven term, which ...
Hangjun Cho, Akshay Kudva, Parth Shah, Dongheon Lee, Joseph Sang‐Il Kwon   +4 more
wiley   +1 more source

Semi-Quantitative Detection of Borax Adulteration in Wheat Flour Based on Microwave Non-Destructive Testing and Machine Learning. [PDF]

Foods
Kang M, Yang J, Ren Y, Bai X.
europepmc   +1 more source